The role of AI Chatbots in providing mental health support: emotional perception, human-AI interaction, and ethical implications

https://doi.org/10.55522/ijti.v3i2.0096

Abstract

   

This study investigates the role of AI chatbots in providing mental health support, focusing on emotional perception, human-AI interaction, and ethical implications. The research aimed to evaluate the effectiveness of AI chatbots in reducing symptoms of depression and anxiety, enhance emotional intelligence, and explore ethical concerns related to data security and emotional dependency. A mixed-methods approach was employed, combining quantitative measures (PHQ-9 for depression, GAD-7 for anxiety, and emotional intelligence assessments) with qualitative data from participant interviews. Results show a significant reduction in depression and anxiety symptoms after a 4-week AI chatbot intervention (p < 0.05), with large effect sizes (Cohen's d = 0.75 and 0.72 for depression and anxiety, respectively). Additionally, participants demonstrated notable improvements in emotional intelligence, particularly in self-awareness, emotional regulation, and empathy. The qualitative data revealed positive perceptions of AI's emotional support capabilities, though concerns about emotional dependency on chatbots and data privacy were prevalent. These findings suggest that AI chatbots can be effective tools in mental health interventions, but ethical issues must be addressed to ensure safe and beneficial use. The study emphasizes the potential of AI chatbots in enhancing emotional regulation and decision- making, while also highlighting the importance of considering ethical implications for widespread adoption. Future research should focus on refining chatbot capabilities and addressing privacy concerns to enhance user trust and long-term engagement.